Background: Massive transfusions are associated with a high mortality rate, but there is little evidence indicating when such efforts are futile. The purpose of this study was to identify clinical variables that could be used as futility indicators in massively transfused patients. Methods: We retrospectively analyzed 138 adult surgical patients at our institution receiving a massive transfusion (2016)(2017)(2018)(2019). Peak lactate and nadir pH within 24 h of massive transfusion initiation, along with other clinical variables, were assessed as predictors of the primary outcome, in-hospital mortality. Results:The overall rate of in-hospital mortality among our patient population was 52.9% (n = 73). Increasing lactate and decreasing pH were associated with greater mortality among massively transfused patients. Mortality rates were~2-fold higher for patients in the highest lactate category (≥10.0 mmol/L: 25 of 37; 67.6%) compared to the lowest category (0.0-4.9 mmol/L: 17 of 48; 35.4%) (p = .005), and~2.5-fold higher for patients in the lowest pH category (<7.00: 8 of 9; 88.9%) compared to the highest category (≥7.40: 8 of 23; 34.7%) (p = .016). Increasing age was also associated with higher mortality (≥65 years: 24 of 33; 72.7%) when compared to younger patients (18-64 years: 49 of 105; 46.7%) (p = .010).Conclusions: Peak lactate ≥10.0 mmol/L, nadir pH <7.00, and age ≥65 years were significantly associated with higher rates of in-hospital mortality among massively transfused patients. Incorporating these clinical parameters into a futility index for massive transfusions will be useful in situations where blood products are scarce and/or mortality may be unavoidable.
BACKGROUND: Patients requiring extracorporeal membrane oxygenation (ECMO) support are critically ill and have substantial transfusion requirements, which convey both risks and benefits. A retrospective analysis was conducted to assess the association between blood component administration and adverse outcomes in adult, pediatric, and neonatal ECMO patients. METHODS: We evaluated 217 ECMO patients at a single center hospitalized between January 2009 and June 2016. Three cohorts (88 adult, 57 pediatric, and 72 neonatal patients) were included for assessment of patient characteristics, blood utilization, and clinical outcomes. Univariable and multivariable analyses were used to assess the association between transfusions and clinical outcomes (primary outcome: mortality and secondary outcomes: morbid events). The analysis included the main exposure of interest (total number of blood component units transfused) and potential confounding variables (age group cohort, case mix index, sex, ECMO mode and duration, and primary ECMO indication). RESULTS: After adjustment for confounders, with each additional blood component unit transfused, there was an estimated increase in odds for mortality by 1% (odds ratio [OR] = 1.01; 95% confidence interval [CI], 1.00–1.02; P = .013) and an increase in odds for thrombotic events by 1% (OR = 1.01; 95% CI, 1.00–1.02; P = .007). Mortality was higher in the adult (57 of 88; 64.8%) and pediatric (37 of 57; 64.9%) than in the neonatal cohort (19 of 72; 26.4%) (P < .0001). Median total blood components transfused per day followed a similar pattern for the adult (2.3 units; interquartile range [IQR] = 0.8–7.0), pediatric (2.9 units; IQR = 1.1–10), and neonatal (1.0 units; IQR = 0.7–1.6) cohorts (P < .0001). Over the entire hospitalization, the total median blood components transfused was highest in the neonatal (41 units; IQR = 24–94) and pediatric (41 units; IQR = 17–113) compared to the adult (30 units; IQR = 9–58) cohort (P = .007). There was no significant interaction between total units transfused over the hospital stay and age cohort for mortality (P = .35). CONCLUSIONS: Given the association between transfusion and adverse outcomes, effective blood management strategies may be beneficial in ECMO patients.
Background: Over the past decade, patient blood management (PBM) programs have been developed to reduce allogeneic blood utilization. This is particularly important in pancreatic surgery, which has historically been associated with high transfusion requirements and morbid event rates. This study investigated blood utilization and clinical outcomes in pancreatic surgery before, during, and after the implementation of PBM. Study Design and Methods: A total of 3482 pancreatic surgery patients were assessed in a 10-year retrospective cohort study (2009-2019) at a single academic center. Baseline patient characteristics, transfusion practices, postoperative morbidity (infectious, thrombotic, ischemic, respiratory, and renal complications), mortality, and length of stay were compared between patients in the pre-PBM (2009-2013), early-PBM (2014-2016), and mature-PBM (2017-2019) time periods. Multivariable analysis assessed the odds for composite morbidity/mortality. Results: Comparing the mature-PBM to pre-PBM cohorts, transfused units per 100 discharged patients decreased by 53% for erythrocytes (155 to 73; P < .0001), 81% for plasma (79 to 15; P < .038), and 75% for platelets (10 to 2.5; P < .005). Clinical outcomes improved as well, with composite morbid event rates decreasing by more than 50%, from 236 in 1438 patients (16.4%) to 85 in 1145 patients (7.4%) (P < .0001). Mortality and length of stay remained unchanged. Compared to the pre-PBM time period, early-PBM was associated with a risk-adjusted decrease in composite morbidity/mortality (OR 0.73; 95% CI 0.57-0.93; P = .010), while mature-PBM demonstrated a further incremental decrease (OR 0.44; 95% CI 0.33-0.57; P < .0001). Conclusions: The implementation of PBM was associated with substantially decreased blood utilization in pancreatic surgery, without negatively impacting clinical outcomes.
BACKGROUND: Patient blood management (PBM) is especially applicable in major spine surgery, during which bleeding and transfusion are common. What remains unclear in this setting is the overall impact of bundled PBM measures on transfusion requirements and clinical outcomes. We compared these outcomes before and after implementing a PBM program. STUDY DESIGN AND METHODS:We conducted a retrospective review of 928 adult complex spine surgery patients performed by a single surgeon between January 2009 and June 2016. Although PBM measures were phased in over time, tranexamic acid (TXA) administration became standard protocol in July 2013, which defined our pre-and post-PBM periods. Transfusion rates for all blood components before and after PBM implementation were compared, as were morbid event rates and mortality. RESULTS:Baseline characteristics were similar before and after PBM. Before PBM, the mean number of units/ patient decreased for red blood cells (RBCs; by 19.5%; p = 0.0057) and plasma (by 33%; p = 0.0008), but not for platelets (p = 0.15). After risk adjustment by multivariable analyses, the composite outcome of morbidity or mortality showed a nonsignificant trend toward improvement after PBM (odds ratio [OR], 0.64; 95% confidence interval [CI], 0.39-1.01; p = 0.055), and the risk of thrombotic events was unchanged (OR, 1.12; 95% CI, 0.42-2.58; p = 0.80). CONCLUSION:In complex spine surgery, a multifaceted PBM program that includes TXA can be advantageous by reducing transfusion requirements without changing clinical outcomes. ABBREVIATIONS: CCI = Charlson Comorbidity Index; DIC = disseminated intravascular coagulation; DVT = deep venous thrombosis; IQR = interquartile range; PBM = patient blood management; PE = pulmonary embolism; TXA = tranexamic acid. From the
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